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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 16331
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    Explanations

    specific numbers referring to episodes or data sets

    oai_token-act-pair · gpt-3.5-turbo

    references to episode numbers and ratings of a specific TV series

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ezvous
    -0.73
     Vik
    -0.71
    gets
    -0.64
    chell
    -0.63
    orius
    -0.63
    minded
    -0.62
     fuzzy
    -0.62
    ivities
    -0.61
     bitters
    -0.60
    rics
    -0.60
    POSITIVE LOGITS
    ULT
    0.91
    pmwiki
    0.88
    80
    0.87
    680
    0.84
    70
    0.83
    655
    0.82
    765
    0.80
    808
    0.79
    00
    0.79
    491
    0.79
    Activations Density 0.042%

    No Known Activations